3 step detailed face detection

 step 1:

This will be your easist way for face detection codes  any queery drop your comment  

.........................................................CODE PYTHON.............................................................................

import  numpy as np

import cv2

import matplotlib. pyplot as plt

annie = cv2.imread ("animesh.jpg",0)

plt.imshow(annie,cmap="gray")

Output:

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step 2:

Hear we can call trained data set and detect faces in image

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import numpy as np

import cv2

import matplotlib. pyplot as plt

annie = cv2.imread ("animesh.jpg",0)

plt.imshow(annie, cmap ="gray")

#trained data set you can try various data set from github

face_trainset = cv2.CascadeClassifier('face_detection_indian.xml')

#function for face detection

def detect_face(img):

    face_img = img.copy()

    face_rect= face_trainset.detectMultiScale(face_img)

    for(x,y,w,h) in face_rect:

        cv2.rectangle(face_img,(x,y),(x+w,y+h),(0,0,165),10)

    return face_img

#lets try now

img1= detect_face(annie)

plt.imshow(img1,cmap="gray")

Output:

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step 3:

Hear we will add webcam or our front camera an take a real time image and detect face. 

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capture = cv2.VideoCapture(0)

while True:

    ret,frame= capture.read()

    frame = detect_face(frame)

    cv2.imshow("video",frame)

    

        # Display the resulting frame

    c = cv2.waitKey(1)

    if c == 27:

        #27 is askey code for esc button

        break

capture.release()

cv2.destroyAllWindows()

OUTPUT:

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